The process of organizing data which involves dividing and arranging files in a rational way that is easy to navigate. This allows staff to find the data they need quickly and easily, while making sure that important information is not lost due to misplacement or inadvertent storage. Ideally, every file should be clearly connected to other files in the same folder in relation to the overall objective of the research. This is usually accomplished by utilizing a simple, clear file structure with subfolders. A readme file located at the top of the folder is typically useful to guide researchers through the structure.
It is crucial for businesses to implement a solid data-management plan to stay relevant and ensure that their data is current, accurate and easy to understand. Recent statistics show that businesses that are insight- and data-driven consistently outperform competitors who are less knowledgeable.
A solid data-management plan starts by identifying the primary business goals, and sketching out the procedures needed to achieve them. The plan should include processes, tools as well as governance. Organizations should also consider hiring accountable people to manage the data management process and make sure that everyone has access to relevant data. The most effective data-management strategies take into account all the different aspects of structured and unstructured data assets which are utilized in today’s big data systems. This includes on premises and cloud data repository. This could include everything from sensors and clickstream records to transportation tracking and transactional points.
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